About
On the 29th of July 2018, Emma Best published on her website the copy of 11k+ wikileaks Twitter DM : https://emma.best/2018/07/29/11000-messages-from-private-wikileaks-chat-released/
Here is a data extraction and wrangling of this corpus, to make it easily searchable, extractable and sharable.
How to use this page
- Every “link.csv” is a downloadable csv.
- You can search and order every table. Results of the search are downloadable as csv or can be copied in the clipboard.
- You can zoom in the time series by selecting the date range. You can also use the selector beside to choose this range. Double click to reset the settings.
- Under each dynamic plot, you can find a static plot by clicking on “Static plost”.
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Data format
- Every csv is encoded in UTF8
- You can find these csv in JSON format on the GitHub repo
Browse through the content
- Home has the full dataset, to search and download.
- Timeline has a series of time-related content: notably DMs by years, and daily count of DMs.
- Users holds the dataset for each users.
- mentions_urls holds the extracted mentions and urls
- methodo contains the methodology used for the data wrangling
Monthly participation by user
Static plot
Count of user participation
A dataset with 2 columns
- user: the user
- n: number of DMs in the corpus for that user
DMs by users
15 datasets (1/user), each with 3 columns:
- text: extracted text
- date: date of the dm
- user: user who sent the dm
Bean
Static plot

Cabledrum
Static plot

DMConversationEntry
Static plot

Emmy B
Static plot

LibertarianLibrarian
Static plot

M
Static plot

Matt Watt
Static plot

noll
Static plot

SAWC Sydney
Static plot

voidiss
Static plot

WikiLeaks Press
Static plot

WikiLeaks Task Force
Static plot

WikiLeaks
Static plot

WISE Up Action
Static plot

WISE Up Wales
Static plot

Methodology
Everything has been done in R.
Methodology is described in methodo